{"id":3542,"date":"2023-07-16T22:41:00","date_gmt":"2023-07-16T22:41:00","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b9%84%e0%b8%a1%e0%b9%88%e0%b8%a1%e0%b8%b5%e0%b9%82%e0%b8%a1%e0%b8%94%e0%b8%b9%e0%b8%a5%e0%b8%8a%e0%b8%b7%e0%b9%88%e0%b8%ad%e0%b8%81%e0%b8%b2%e0%b8%a3%e0%b8%95%e0%b8%a3%e0%b8%a7%e0%b8%88%e0%b8%aa\/"},"modified":"2023-07-16T22:41:00","modified_gmt":"2023-07-16T22:41:00","slug":"%e0%b9%84%e0%b8%a1%e0%b9%88%e0%b8%a1%e0%b8%b5%e0%b9%82%e0%b8%a1%e0%b8%94%e0%b8%b9%e0%b8%a5%e0%b8%8a%e0%b8%b7%e0%b9%88%e0%b8%ad%e0%b8%81%e0%b8%b2%e0%b8%a3%e0%b8%95%e0%b8%a3%e0%b8%a7%e0%b8%88%e0%b8%aa","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b9%84%e0%b8%a1%e0%b9%88%e0%b8%a1%e0%b8%b5%e0%b9%82%e0%b8%a1%e0%b8%94%e0%b8%b9%e0%b8%a5%e0%b8%8a%e0%b8%b7%e0%b9%88%e0%b8%ad%e0%b8%81%e0%b8%b2%e0%b8%a3%e0%b8%95%e0%b8%a3%e0%b8%a7%e0%b8%88%e0%b8%aa\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02: \u0e44\u0e21\u0e48\u0e21\u0e35\u0e42\u0e21\u0e14\u0e39\u0e25\u0e0a\u0e37\u0e48\u0e2d "sklearn.cross_validation";"},"content":{"rendered":"

<\/p>\n

\n

\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e17\u0e35\u0e48\u0e04\u0e38\u0e13\u0e2d\u0e32\u0e08\u0e1e\u0e1a\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e43\u0e0a\u0e49 Python \u0e04\u0e37\u0e2d:<\/span><\/p>\n

 ModuleNotFoundError : No module named 'sklearn.cross_validation'\n<\/span><\/span><\/strong><\/pre>\n
 \u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e19\u0e35\u0e49\u0e21\u0e31\u0e01\u0e40\u0e01\u0e34\u0e14\u0e02\u0e36\u0e49\u0e19\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e1e\u0e22\u0e32\u0e22\u0e32\u0e21\u0e19\u0e33\u0e40\u0e02\u0e49\u0e32\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 train_test_split<\/strong> \u0e08\u0e32\u0e01 sklearn<\/strong> \u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/span><\/p>\n
 from<\/span> sklearn. cross_validation<\/span> import<\/span> train_test_split<\/strong><\/pre>\n
 \u0e2d\u0e22\u0e48\u0e32\u0e07\u0e44\u0e23\u0e01\u0e47\u0e15\u0e32\u0e21 \u0e42\u0e21\u0e14\u0e39\u0e25\u0e22\u0e48\u0e2d\u0e22 cross_validation<\/strong> \u0e16\u0e39\u0e01\u0e41\u0e17\u0e19\u0e17\u0e35\u0e48\u0e14\u0e49\u0e27\u0e22\u0e42\u0e21\u0e14\u0e39\u0e25\u0e22\u0e48\u0e2d\u0e22 model_selection<\/strong> \u0e14\u0e31\u0e07\u0e19\u0e31\u0e49\u0e19\u0e04\u0e38\u0e13\u0e15\u0e49\u0e2d\u0e07\u0e43\u0e0a\u0e49\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/span><\/p>\n
 from<\/span> sklearn. model_selection<\/span> import<\/span> train_test_split<\/strong><\/pre>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e41\u0e01\u0e49\u0e44\u0e02\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e19\u0e35\u0e49\u0e43\u0e19\u0e17\u0e32\u0e07\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34<\/span><\/p>\n
 \u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e17\u0e33\u0e0b\u0e49\u0e33\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14<\/strong><\/span><\/h2>\n
 \u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 train_test_split<\/strong> \u0e02\u0e2d\u0e07 sklearn<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e41\u0e22\u0e01 DataFrame \u0e02\u0e2d\u0e07 pandas \u0e2d\u0e2d\u0e01\u0e40\u0e1b\u0e47\u0e19\u0e0a\u0e38\u0e14\u0e01\u0e32\u0e23\u0e1d\u0e36\u0e01\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a<\/span><\/p>\n
 \u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e1e\u0e22\u0e32\u0e22\u0e32\u0e21\u0e43\u0e0a\u0e49\u0e42\u0e04\u0e49\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e19\u0e33\u0e40\u0e02\u0e49\u0e32\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 train_test_split<\/strong> :<\/span><\/p>\n
 from<\/span> sklearn. cross_validation<\/span> import<\/span> train_test_split\n\nModuleNotFoundError : No module named 'sklearn.cross_validation'<\/span><\/span>\n<\/strong><\/pre>\n
 \u0e40\u0e23\u0e32\u0e44\u0e14\u0e49\u0e23\u0e31\u0e1a\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e40\u0e19\u0e37\u0e48\u0e2d\u0e07\u0e08\u0e32\u0e01\u0e40\u0e23\u0e32\u0e43\u0e0a\u0e49\u0e0a\u0e37\u0e48\u0e2d\u0e42\u0e21\u0e14\u0e39\u0e25\u0e22\u0e48\u0e2d\u0e22\u0e44\u0e21\u0e48\u0e16\u0e39\u0e01\u0e15\u0e49\u0e2d\u0e07\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e1e\u0e22\u0e32\u0e22\u0e32\u0e21\u0e19\u0e33\u0e40\u0e02\u0e49\u0e32\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 train_test_split<\/strong><\/span><\/p>\n
 \u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e41\u0e01\u0e49\u0e44\u0e02\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14<\/strong><\/span><\/h2>\n
 \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e41\u0e01\u0e49\u0e44\u0e02\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e19\u0e35\u0e49 \u0e40\u0e23\u0e32\u0e40\u0e1e\u0e35\u0e22\u0e07\u0e41\u0e04\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e43\u0e0a\u0e49\u0e42\u0e21\u0e14\u0e39\u0e25\u0e22\u0e48\u0e2d\u0e22 model_selection<\/strong> \u0e41\u0e17\u0e19:<\/span><\/p>\n
 from<\/span> sklearn. model_selection<\/span> import<\/span> train_test_split\n<\/strong><\/pre>\n
 \u0e04\u0e23\u0e31\u0e49\u0e07\u0e19\u0e35\u0e49\u0e40\u0e23\u0e32\u0e44\u0e21\u0e48\u0e44\u0e14\u0e49\u0e23\u0e31\u0e1a\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e43\u0e14\u0e46<\/span><\/p>\n
 \u0e08\u0e32\u0e01\u0e19\u0e31\u0e49\u0e19\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 train_test_split<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e41\u0e1a\u0e48\u0e07 DataFrame \u0e02\u0e2d\u0e07 pandas \u0e2d\u0e2d\u0e01\u0e40\u0e1b\u0e47\u0e19\u0e0a\u0e38\u0e14\u0e01\u0e32\u0e23\u0e1d\u0e36\u0e01\u0e2d\u0e1a\u0e23\u0e21\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a:<\/span><\/p>\n
 from<\/span> sklearn. model_selection<\/span> import<\/span> train_test_split\nimport<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seeds<\/span> (1)\n\n#create DataFrame with 1000 rows and 3 columns\n<\/span>df = pd. DataFrame<\/span> ({' x1<\/span> ': np.random.randint(30, size=1000),\n                   ' x2<\/span> ': np.random.randint(12, size=1000),\n                   ' y<\/span> ': np.random.randint(2, size=1000)})\n\n#split original DataFrame into training and testing sets\n<\/span>train, test = train_test_split(df, test_size=0.2, random_state=0)\n\n#view first few rows of each set\n<\/span>print<\/span> ( train.head<\/span> ())\n\n     x1 x2 y\n687 16 2 0\n500 18 2 1\n332 4 10 1\n979 2 8 1\n817 11 1 0\n\nprint<\/span> ( test.head<\/span> ())\n\n     x1 x2 y\n993 22 1 1\n859 27 6 0\n298 27 8 1\n553 20 6 0\n672 9 2 1<\/strong><\/pre>\n
 \u0e40\u0e23\u0e32\u0e08\u0e31\u0e14\u0e01\u0e32\u0e23\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 train_test_split<\/strong> \u0e44\u0e14\u0e49\u0e2a\u0e33\u0e40\u0e23\u0e47\u0e08\u0e42\u0e14\u0e22\u0e44\u0e21\u0e48\u0e21\u0e35\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14<\/span><\/p>\n
 \u0e41\u0e2b\u0e25\u0e48\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/span><\/h2>\n
 \u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b\u0e2d\u0e37\u0e48\u0e19\u0e46 \u0e43\u0e19 Python:<\/span><\/p>\n
 \u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02: \u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e0b\u0e49\u0e2d\u0e19\u0e17\u0e31\u0e1a\u0e01\u0e31\u0e19\u0e41\u0e15\u0e48\u0e44\u0e21\u0e48\u0e44\u0e14\u0e49\u0e23\u0e30\u0e1a\u0e38\u0e2a\u0e48\u0e27\u0e19\u0e15\u0e48\u0e2d\u0e17\u0e49\u0e32\u0e22<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02: \u0e27\u0e31\u0e15\u0e16\u0e38 ‘numpy.ndarray’ \u0e44\u0e21\u0e48\u0e21\u0e35\u0e41\u0e2d\u0e15\u0e17\u0e23\u0e34\u0e1a\u0e34\u0e27\u0e15\u0e4c ‘\u0e1c\u0e19\u0e27\u0e01’<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02: \u0e2b\u0e32\u0e01\u0e43\u0e0a\u0e49\u0e04\u0e48\u0e32\u0e2a\u0e40\u0e01\u0e25\u0e32\u0e23\u0e4c\u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14 \u0e04\u0e38\u0e13\u0e08\u0e30\u0e15\u0e49\u0e2d\u0e07\u0e1c\u0e48\u0e32\u0e19\u0e14\u0e31\u0e0a\u0e19\u0e35<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02: ValueError: \u0e44\u0e21\u0e48\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e41\u0e1b\u0e25\u0e07 float NaN \u0e40\u0e1b\u0e47\u0e19 int<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e17\u0e35\u0e48\u0e04\u0e38\u0e13\u0e2d\u0e32\u0e08\u0e1e\u0e1a\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e43\u0e0a\u0e49 Python \u0e04\u0e37\u0e2d: ModuleNotFoun […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-3542","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\n\u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02: \u0e44\u0e21\u0e48\u0e21\u0e35\u0e42\u0e21\u0e14\u0e39\u0e25\u0e0a\u0e37\u0e48\u0e2d "sklearn.cross_validation" - Statorials<\/title>\n<meta name=\"description\" content=\"\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02\u0e02\u0e49\u0e2d\u0e1c\u0e34\u0e14\u0e1e\u0e25\u0e32\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e43\u0e19 Python: \u0e44\u0e21\u0e48\u0e21\u0e35\u0e42\u0e21\u0e14\u0e39\u0e25\u0e0a\u0e37\u0e48\u0e2d sklearn.cross_validation\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/th\/\u0e44\u0e21\u0e48\u0e21\u0e35\u0e42\u0e21\u0e14\u0e39\u0e25\u0e0a\u0e37\u0e48\u0e2d\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e2a\/\" \/>\n<meta property=\"og:locale\" content=\"th_TH\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0e27\u0e34\u0e18\u0e35\u0e41\u0e01\u0e49\u0e44\u0e02: 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